Data Specialist

Esoft is one of the world's leading real-estate tech companies specializing in property presentations, image processing, 3D visualization, and online marketing of properties worldwide.
Our customers are real estate agents and property-marketing companies in Europe, US, and Australia who rely on us for our fast service, our innovative solutions, and high and consistent quality.
The company was founded in 2000 in Denmark and our platform in Vietnam has been operating since 2007. We currently employ more than 800 people in our offices in Vietnam, Denmark, Sweden, and Norway.
At Esoft, we are on an exciting journey of transformation and we are seeking a talented individuals who are passionate about making a real impact and shaping the future. We encourage all applicants from minorities, people with disabilities, and all other qualified applicants.
Key Responsibilities
Data Analysis & Business Insights:
- Collect, clean, and analyze large datasets to extract meaningful insights via mainly Power BI reports/ dashboards.
- Perform correlation analysis to measure and describe the strength and direction of a relationship between two or more variables (mostly in Production).
- Monitor key operational performance indicators (KPIs - OTD, Quality, Cost, Resource utilization, Productivity, Forecast/Budget fulfilment, etc) following the Company strategies and provide recommendations for improvement.
- Apply clustering and grouping techniques based on certain characteristics or patterns of data for driving different focus level to each segmentation and implementing common actions.
- Perform statistical analysis and data modelling to address business challenges (if feasible).
- Embed Power BI reports on web-based platforms and manage user permissions and access control.
Predictive Analytics by Mathematical Algorithms:
- Develop predictive models using statistical and machine learning algorithms to forecast business trends.
- Utilize regression models (linear, logistic), time series forecasting (ARIMA, Exponential Smoothing) to early warning for human-based forecasting competence as well as resource preparation.
- Conduct customer behavior analytics to interpret monthly demand into hourly/daily workload for Production.
Data Management, Governance, and Quality Assurance:
- Co-ordinate with ERP for necessary data flows.
- Work with data warehouse solutions to store and manage structureddata efficiently serving for Production.
- Collaborate with data engineers in ERP to design, maintain, and optimize ETL/ELT pipelines to extract, transform, and load data into the warehouse and to ensure scalable data storage and retrieval strategies.
- Implement data governance, data security, privacy, and access best practices to ensure compliance with internal policies and standards ISO/IEC 27001.
Cross-Functional Collaboration:
- Partner with stakeholders (ERP, Finance, Production, HR, Wholesale) to understand data needs and develop analytical solutions.
- Present analytical findings in a clear, actionable format for both technical and non-technical audiences.
- Ensure end users to appropriately utilize data for execution, monitoring and improvement.
- Foster a culture of teamwork, ensuring seamless communication across departments, growth mindset to adapt the changes.